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From "Karthik Kambatla (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-736) Add a multi-resource fair sharing metric
Date Mon, 17 Jun 2013 18:59:20 GMT

    [ https://issues.apache.org/jira/browse/YARN-736?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13685854#comment-13685854

Karthik Kambatla commented on YARN-736:

Thanks Sandy. Few comments:
# The name ShareComputer doesn't capture the purpose of the class. What do you think of ComputeResourceShares
or something along those lines?
# In FairScheduler#isStarvedForDesiredFairShare(), the .5 in Resources.min() should be made
# Add comments to capture the logic in ShareComputer/ComputeResourceShares and FS#isStarvedForDesiredFairShare

> Add a multi-resource fair sharing metric
> ----------------------------------------
>                 Key: YARN-736
>                 URL: https://issues.apache.org/jira/browse/YARN-736
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: scheduler
>    Affects Versions: 2.0.4-alpha
>            Reporter: Sandy Ryza
>            Assignee: Sandy Ryza
>         Attachments: YARN-736-1.patch, YARN-736.patch
> Currently, at a regular interval, the fair scheduler computes a fair memory share for
each queue and application inside it.  This fair share is not used for scheduling decisions,
but is displayed in the web UI, exposed as a metric, and used for preemption decisions.
> With DRF and multi-resource scheduling, assigning a memory share as the fair share metric
to every queue no longer makes sense.  It's not obvious what the replacement should be, but
probably something like fractional fairness within a queue, or distance from an ideal cluster

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